Associations between pathological features and radioactive iodine-refractory recurrent papillary thyroid carcinoma: with mutation analysis using recurrent samples

BMC Endocrine Disorders, 2025

Полный текст Открытый доступ: Gold Метаданные (CSL-JSON)
DOI 10.1186/s12902-025-01954-9
Достоверность данных 70 средняя
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Аннотация

Although papillary thyroid carcinomas (PTC) are usually indolent in nature and clinically controllable, two-thirds of metastatic diseases become radioactive iodine-refractory (RAI-R). This study aimed to determine the role of pathological features, BRAF V600E , TERT promoter ( TERT -p), and their combinations on Vietnamese patients with RAI-R recurrent PTC. This cross-sectional study included 174 cases of locoregional recurrent PTC, including 135 and 39 RAI-R and RAI-avid (RAI-A) cases, respectively. Logistic regression analyses were used to evaluate the associations between pathological features, mutations, and RAI-R with tissues from recurrent lesions. Loss of polarity/loss of cell cohesiveness (LOP/LCC) component was exclusively observed in recurrent cancers in the RAI-R group. RAI-R was associated with BRAF V600E mutation, TERT -p mutation, BRAF V600E / TERT -p single mutant (Smut), BRAF V600E / TERT -p double mutant (Dmut), tall cell component, and mitosis ≥ 2/2 mm 2 in the unadjusted logistic regression analysis. Multivariable logistic regression analysis revealed that BRAF V600E mutation and Dmut were independent predictors of RAI-R. The presence of Dmut (odds ratio [OR] = 6.64) was more significantly associated with RAI-R compared with that of Smut (OR = 2.75). There was a marginal association between tall cell > 5%, mitosis count ≥ 2/2 mm 2 and RAI-R. The combination of BRAF V600E /tall cell components was the strongest predictor of RAI-R. RAI-R PTC cases were independently associated with BRAF V600E , Dmut. The association between Dmut and RAI-R PTC was stronger than that between Smut and RAI-R PTC. Future studies should focus on elucidating the role of mitotic count and LOP/LCC in RAI-R PTC.